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HomeCompaniesLila SciencesCo-op, Analytical Chemistry

Co-op, Analytical Chemistry

Lila Sciences · Cambridge, MA USA · Active · Greenhouse

Job facts

FieldValue
CompanyLila Sciences
TitleCo-op, Analytical Chemistry
Normalized title-
Department / teamAutonomous Science Platform
LocationCambridge, MA, United States
Work model-
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-06-15 / 2026-06-16
Changed / last seen2026-06-16 / 2026-06-19

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Company jobsActive postings from Lila Sciences.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Cambridge.Open
Department jobsActive postings in Autonomous Science Platform.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyLila Sciences
Sourcea1e67975-fd33-4f8d-940f-2dbc2480c450
ATS providerGreenhouse

Description

Your Impact at LILA Our day-to-day work - creating samples, running experiments, and generating high-quality data - will feed directly into closed-loop optimization campaigns that accelerate our chemistry pipeline in our science factory. You will work at the intersection where world class teams are coming together to achieve one dream - scientific superintelligence What You'll Be Building Work hands-on with the synthesis team to drive high throughput analytical studies for small molecules Perform HTE spectroscopic and chromatographic analysis (IR, NMR, LC, MS) for reaction samples, and uncover mechanistic insights - both inline and offline characterization. Design and run experiments to accelerate catalytic discovery, collaborate with AI-driven workflows, enabling real-time learning cycle and push the limits of high-throughput chemical analysis. Perform instrument calibration, dilution and QC studies Digital log of experiment workflows, samples, reaction conditions, calibrations, and results, ensuring data integrity for AI-driven analysis. Use Python for data processing or instrument scripting. Follow strict EHS protocols for chemical handling Contribute to brief reports and present findings in team meetings. What You'll Need to Succeed Currently pursuing or recently completed a B.S. or M.S. in Analytical Chemistry or a related discipline. Hands-on experience in high-throughput analysis of small molecules Preferred background in analytical method development for HT screenings of medicinal compounds Comfort working with inert conditions and wide range of chemicals, adhering to EHS protocols and following detailed SOPs. Basic proficiency in Python or another scripting language for data handling is a plus. Strong observational skills, attention to detail, and willingness to ask questions and learn. Effective written and verbal communication; ability to work in a fast-paced, multidisciplinary team Bonus Points For Familiarity with automation platforms and high throughput experimentation Background in pharma and analysis of medicinal compounds Experience in troubleshooting and maintenance of analytical instruments About LILA Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai. Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply. We’re All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy . A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

Full job record

Job ID222666614a87344e08377b16d357343aaf89e306
Org IDffee088c-1794-41ee-9ae7-d3e130389319
Source IDa1e67975-fd33-4f8d-940f-2dbc2480c450
Board IDa1e67975-fd33-4f8d-940f-2dbc2480c450
Providergreenhouse
Provider Job Key4284224009
TitleCo-op, Analytical Chemistry
Normalized Title
Statusactive
Activeyes
Location TextCambridge, MA USA
DepartmentAutonomous Science Platform
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
RegionMA
CityCambridge
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/lilasciences/jobs/4284224009
Apply URLhttps://job-boards.greenhouse.io/lilasciences/jobs/4284224009
First Seen At2026-06-16 07:37:30Z
Last Seen At2026-06-19 07:36:48Z
Last Checked At2026-06-19 07:36:48Z
Last Changed At2026-06-16 07:37:30Z
Inactive At
Source Posted At2026-06-15 13:00:01Z
Source Updated At2026-06-15 13:00:01Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=lilasciences/date=2026-06-19/2026-06-19T07-36-48-512Z-7818485941cd3744b9116b899e0d1b596848b241db41d0b1b384ecc7faca9409.json
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Parsed Structured
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Extensions
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